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Journal of Bacteriology, May 2006, p. 3371-3381, Vol. 188, No. 9
0021-9193/06/$08.00+0 doi:10.1128/JB.188.9.3371-3381.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Department of Microbiology and Immunology, Sherman Fairchild Science Building, Stanford University School of Medicine, 299 Campus Drive, Stanford, California 94305,1 School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, New Zealand,2 Centers for Disease Control and Prevention, Atlanta, Georgia 303333
Received 15 December 2005/ Accepted 19 February 2006
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Several bacteria, including Escherichia coli, Shewanella oneidensis, and numerous species of Pseudomonas and Bacillus, can reduce Cr(VI) to Cr(III) (17, 39); nonetheless, an effective bacterial system for in situ reduction has not yet been developed. One reason is that chromate is also toxic to the remediating bacteria (17). Our in vitro studies have strongly implicated oxidative stress generated by chromate as a major cause of this toxicity (1, 2, 3). A wide range of bacterial enzymes and other cellular constituents reduce Cr(VI) by one-electron reduction, generating the highly reactive radical Cr(V), which redox cycles (2, 13, 16, 33). In this process, Cr(V) is oxidized back to Cr(VI), giving its electron to molecular oxygen and generating reactive oxygen species (ROS). Repetition of this process produces large quantities of ROS, subjecting the cells to severe oxidative stress. Our proposed strategy to improve bacterial capacity to remediate chromate is therefore based on minimizing ROS production during chromate reduction. This approach envisages enhancing the efficacy of enzymes which catalyze primarily a one-step transformation of Cr(VI) to Cr(III), avoiding generation of Cr(V) (1, 2; Y. Barak, D. F. Ackerley, B. Lal, and A. Matin, unpublished data).
However, the prooxidant effect of chromate in bacteria has not been demonstrated in vivo, and since countering it is central to our strategy for improving bacterial chromate remediation, we have now examined the effects of chromate at the cellular level in E. coli. We observed that chromate exposure induced aberrant cell morphology and other effects and that these effects were markedly altered in cells that had been preadapted to chromate. As these effects were the result of physiological changes, they afforded a good experimental system to gain insight into these changes and determine the role of the potential prooxidant effect of chromate in vivo.
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TABLE 1. Strains
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Reduced glutathione and total cell thiol measurements were made using a glutathione assay kit (Calbiochem, San Diego, CA). Protein concentrations were measured with a Bio-Rad Dc protein assay kit using bovine serum albumin as the standard. Whole-cell chromate reduction assays were performed as previously described (2) except that they were normalized against protein concentration rather than A660. Cells from each culture were resuspended to a final protein concentration of 7.5 mg · ml1 in LB containing 400 µM K2CrO4 (equivalent to a final A660 of around 8.0 for the unchallenged cells) and incubated with aeration at 37°C for 1 h, with residual chromate being measured by the diphenyl carbazide method (2) every 10 min. ß-Galactosidase activity was measured as previously described (20) except that activity was normalized against cellular protein concentration rather than A660, with 1 Miller Unit (MU) defined as
A574/min/mg protein. Thin-layer chromatography ppGpp assays were conducted as described previously (40).
2D-PAGE. Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) was performed according to the method of O'Farrell (27) by Kendrick Labs, Inc. (Madison, WI). Samples (5.0 ml/culture A660) were collected from unchallenged, challenged nonadapted, and challenged preadapted cultures of E. coli strain AMS6 at 3 h and 5 h postinoculation. Cells were pelleted by centrifugation, and protein samples were prepared by addition of 300 µl osmotic lysis buffer (Kendrick Labs, Inc.) containing 10x protease inhibitor and nuclease stock. One hundred microliters of sodium dodecyl sulfate (SDS) boiling buffer minus ß-mercaptoethanol was added to each sample, and samples were boiled for 5 min, after which protein concentrations were estimated using a bicinchoninic acid assay (Pierce Chemical Co., Rockford, IL). Samples were then lyophilized, redissolved to 6 mg · ml1 protein in SDS boiling buffer, and heated in a boiling water bath for 3 min prior to loading. Isoelectric focusing was carried out in 3.5-mm-inner-diameter glass tubes using 2% (wt/vol) pH 4 to 8 ampholines (Gallard-Schlesinger Industries, Inc., Garden City, NY) for 20,000 V · h. Fifty nanograms of an isoelectric focusing internal standard, tropomyosin, was added to each sample prior to loading, giving two polypeptide spots with similar pIs; the lower spot, with a molecular weight of 33,000 and pI 5.2, is marked with an arrow on each 2D gel image. After reaching equilibrium in SDS sample buffer (10% [wt/vol] glycerol, 50 mM dithiothreitol, 2.3% [wt/vol] SDS, and 62.5 mM Tris, pH 6.8), each tube gel was sealed to the top of a stacking gel overlaying a 10% (wt/vol) acrylamide slab gel (0.75 mm thick). SDS slab gel electrophoresis was carried out for 5 h at 25 mA/gel. Molecular mass standards were added to the agarose that sealed the tube gel to the slab gel, and these standards appear as horizontal lines on the Coomassie blue-stained 10% acrylamide slab gels. Gels were dried between sheets of cellophane paper with the acid edge to the left.
Analysis of spots on 2D-PAGE gels. Gel analysis was performed by Kendrick Labs, Inc. (Madison, WI). Duplicate gels were obtained as described above, and one gel from each pair was scanned with a laser densitometer (model PDSI; Molecular Dynamics Inc., Sunnyvale, CA). The scanner was checked for linearity prior to scanning with a calibrated neutral-density filter set (Melles Griot, Irvine, CA). The images were analyzed using Nonlinear Technology Progenesis software (version 2003.03) such that all major spots and all changing spots were outlined, quantified, and matched on all the gels. The general method of computerized analysis for these pairs included automatic spot finding and quantification, automatic background subtraction (Progenesis algorithm), and automatic spot matching in conjunction with detailed manual checking of the spot-finding and -matching functions. The spot intensities on each gel were expressed as a percentage of the total density of all spots on the gel and averaged between duplicate gels. These values were then compared for equivalent spots on different gels, with threefold or greater differences in intensity regarded as significant up- or down-regulation of individual proteins. Twenty clearly delineated spots whose intensity was significantly altered were excised and sent to the Protein Chemistry Core Facility of Columbia University for matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) fingerprinting; of these, 18 were successfully identified. For each of these, the measured molecular mass and pI were consistent with those calculated from sequence data (NCBI databases; http://www4.ncbi.nlm.nih.gov/entrez/query.fcgi) using PeptideMass (http://us.expasy.org/tools/peptide-mass.html). Protein functions were annotated for Tables 2 and 3 with assistance from EcoCyc databases (http://ecocyc.org/).
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TABLE 2. Changes in protein expression: challenged nonadapted versus unchallenged cells
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TABLE 3. Changes in protein expression: challenged preadapted versus challenged nonadapted cells
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Fluorescence microscopy. Samples (0.5 ml/culture A660) were collected from unchallenged, challenged nonadapted, and challenged preadapted cultures at 3 h and 5 h postinoculation, pelleted by centrifugation, washed once in PBS, resuspended in LB containing 30 µM 2', 7'-dihydrodichlorofluorescein diacetate (H2DCFDA), and incubated in the dark with rotation for 10 min at 37°C. Each sample was then pelleted by centrifugation, washed once in PBS, repelleted, and resuspended in 50 µl PBS. Five microliters was spotted onto a glass microscope slide and allowed to air dry in the dark. Five microliters of Vectashield (Vector Inc., CA) fluorescence antiquenching mounting medium was spotted on top of the air-dried sample and covered with a glass coverslip. Samples were visualized at 1,000x magnification on an Olympus BX60 upright fluorescence microscope, and black-and-white images were captured with a Hamamatsu Orca100 charge-coupled device through a green filter and pseudocolored with identical settings for each image using Image Pro Plus 5.0.
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FIG. 1. Growth kinetics (A660) for unchallenged ( ), challenged nonadapted ( ), and challenged preadapted ( ) cells inoculated at an initial A660 of 0.1 into flask cultures of LB with or without 250 µM K2CrO4, as appropriate, and grown at 37°C with shaking.
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Phase-contrast microscopy indicated changes in cell size upon chromate challenge, and to examine this more closely, we visualized unchallenged, challenged nonadapted, and challenged preadapted cells with a scanning electron microscope (5,000-fold magnification). At both 3- and 5-h time points, the unchallenged cells were small rods (ca. 1 to 2 by 0.5 µm) (Fig. 2A and B). In contrast, the challenged nonadapted cells grown for 3 h (3-h challenged nonadapted cells), although retaining about the same width, were greatly elongated (up to 50 µm in length) (Fig. 2C). By 5 h postinoculation, the extreme snake-like forms had disappeared, but the cells remained relatively long (2 to 5 µm) (Fig. 2D). Less dramatic morphological changes were seen upon fresh chromate challenge of the preadapted cells. Although at 3 h postinoculation they exhibited typical lengths of 4 to 6 µm (Fig. 2E), by 5 h they were only slightly more elongated than the unchallenged cells (Fig. 2F).
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FIG. 2. Representative scanning electron micrographs (5,000x magnification) of cells from unchallenged (A, 3 h postinoculation; B, 5 h postinoculation), challenged nonadapted (C, 3 h postinoculation; D, 5 h postinoculation), and challenged preadapted (E, 3 h postinoculation; F, 5 h postinoculation) cultures. In all figures, the scale bar indicates 5 µm. (G) Cellular protein concentration (mg · ml1) of samples collected from unchallenged ( ), challenged nonadapted ( ), and challenged preadapted ( ) cultures at hourly intervals.
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Given the dramatic changes in these parameters, we wondered if they affected the chromate transformation capacity of the bacteria. Dense cell suspensions, containing 7.5 mg cell protein ml1 in LB medium amended with 400 µM K2CrO4, were used to explore this (as in reference 2). At all time points examined (3, 5, and 7 h), the unchallenged, challenged nonadapted, and challenged preadapted cells exhibited similar rates of chromate transformation and a parallel decline in this rate with continued incubation (Table 4).
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TABLE 4. Chromate reduction ratesa
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To test this notion, we collected culture samples at 3 and 5 h, treated them with the ROS-activated green fluorescent dye H2DCFDA, and examined them at 1,000x magnification with an Olympus BX60 upright fluorescence microscope. Unchallenged cells were the least fluorescent at both time points (Fig. 3A and B), while the 3-h nonadapted challenged cells exhibited the greatest fluorescent intensity (Fig. 3C), this being somewhat reduced at the 5-h postinoculation time point (Fig. 3D). In the preadapted cells, the fluorescence was less at both time points than in the nonadapted challenged cells, and the 5-h cells again exhibited less intensity than the 3-h cells (Fig. 3E and F).
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FIG. 3. Representative fluorescent micrographs (1,000x magnification) of cells from unchallenged (A, 3 h postinoculation; B, 5 h postinoculation), challenged nonadapted (C, 3 h postinoculation; D, 5 h postinoculation), and challenged preadapted (E, 3 h postinoculation; F, 5 h postinoculation) cultures treated with the H2O2-activated green fluorescent dye H2DCFDA as described in Materials and Methods. The increased green fluorescence observed in the chromate-challenged cultures is indicative of heightened oxidative stress.
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FIG. 4. Total free thiol (A) and reduced glutathione (B) levels in cells collected from unchallenged ( ), challenged nonadapted ( ), and challenged preadapted ( ) cultures at hourly intervals. Results are the means of two independent measurements, and error bars indicate ±1 standard error of the mean.
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FIG.5. Coomassie-stained two-dimensional polyacrylamide gels of total cellular protein samples collected from unchallenged, challenged nonadapted, and challenged preadapted cultures 3 h (A) and 5 h (B) postinoculation. Average spot densities from duplicate gels were compared for the unchallenged and challenged nonadapted samples (indicated by the black two-way arrows) and for the challenged nonadapted and challenged preadapted samples (indicated by the white two-way arrows). Distinct protein spots whose expression was up- or down-regulated threefold or greater (ringed in black for the unchallenged versus challenged comparison and in white for the nonadapted versus preadapted comparison) were excised and identified by MALDI-MS fingerprinting. The expression change (n-fold) and identities of these proteins are listed in Tables 2 and 3. The black triangle on each gel indicates the internal tropomyosin standard (molecular weight of 33,000; pI 5.2).
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Consistent with an active role in cell recovery from chromate stress, CysN and CysK were further up-regulated in chromate-challenged preadapted cells relative to the nonadapted cells, although not beyond our threefold significance criteria (up-regulated 2.24- and 1.86-fold, respectively, at 3 h and 1.35- and 1.15-fold at 5 h). An additional protein, alkane sulfonate monooxygenase, which may have a role in thiol biosynthesis, as it provides a source of sulfur (11), was also induced in chromate-preadapted cells at both the 3-h and 5-h time points (Table 3). Other proteins up- or down-regulated in both types of cells included flagellar synthesis, intermediary metabolism, and various stress-responsive proteins.
The above results provide in vivo evidence of chromate-mediated oxidative stress and suggest that the cell attempts to counter it by inducing antioxidant proteins. It can thus be predicted that mutants missing antioxidant proteins will show greater sensitivity to chromate. We tested this premise by comparing the MIC50s for chromate between a range of isogenic single-gene knockout mutants and the wild type grown in shaken microtiter plate wells, as described in Materials and Methods. Several of the oxidative stress mutants examined displayed a lowered MIC50 for chromate relative to their isogenic wild type (Table 5). This was seen for the katE catalase mutant; the chromate reductase and putative H2O2-quenching quinone reductase yieF mutant (1, 12); and two mutants lacking enzymes up-regulated by chromate in the 2D gel analysis, the cysK and sodB mutants (Fig. 5 and Tables 2 and 3). In contrast, the katG catalase mutant, the cysN mutant, the sodA (manganese) superoxide dismutase mutant, and interestingly, given the results presented in Fig. 4B, the glutathione biosynthesis mutants gshA and gshB did not have reduced chromate MIC50s. The sodA mutant MIC50 in fact appeared to be slightly increased, but in different E. coli K-12 mutants (strain AB1157; Table 1), we did not observe this. Wild-type AB1157 and its isogenic sodA and sodB mutants all displayed an MIC50 for chromate of 250 µM, but the isogenic sodAB double mutant exhibited an MIC50 of 150 µM. The latter results suggest a protective role for both SodA and SodB and also emphasize that there is likely to be some functional redundancy between different antioxidant enzymes, buffering the effect of individual knockout mutations on MIC50s.
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TABLE 5. MIC50s of E. coli W3110 mutants defective in known genes of antioxidant defense or encoding proteins whose expression was altered on the 2D gels pictured in Fig. 5A and B
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Does chromate activate global stress responses? Various cellular insults activate global stress responses. The SOS response in E. coli is known to be activated by oxidative stress (15) and to promote cell filamentation (10) and thus appeared to be a likely candidate for activation by chromate. To investigate this possibility, we examined ß-galactosidase activity in an SOS-regulated single-copy sfiA::lacZ fusion strain (Table 1) (25) in the different chromate stress conditions. In unchallenged cells we saw no significant ß-galactosidase induction (Fig. 6A), while in chromate-challenged, nonadapted cells we observed gradual induction, culminating in about a 10-fold increase in activity at 5 h, after growth of this strain had ceased (Fig. 6A and 2G). In contrast, the chromate-challenged preadapted cells exhibited relatively high levels of ß-galactosidase activity initially (approximately fivefold that of the unchallenged and challenged nonadapted cells at time zero), and these levels remained mostly constant throughout the rest of the growth period. The data suggest that the SOS response induced during the adaptive period may play a role in the ability of the preadapted cells to better withstand chromate-induced oxidative stress. Expression of several other E. coli SOS genes has previously been shown to be induced by Cr(VI) compounds (18).
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FIG. 6. ß-Galactosidase activity determined during the growth of sfiA::lacZ (A) and pexB::lacZ (B) single-copy fusion strains in unchallenged ( ), challenged nonadapted ( ), and challenged preadapted ( ) cultures. Results are the means of three experimental replicates, and error bars indicate ±1 standard error of the mean. The zero time values were omitted from panel B, as the very high activity in the unchallenged overnight culture was off scale (these values were the following: unchallenged and challenged nonadapted, 209 ± 15 MU; and challenged preadapted, 136 ± 19 MU).
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s and ppGpp in the chromate stress response. The former is the central regulator of the bacterial general stress response (23, 28) and the latter that of the stringent response (22), and increases in their concentrations signal the activation of these responses. As indicated by use of the pexB::lacZ transcriptional fusion strain (Table 1), whose ß-galactosidase activity is a reliable measure of
s levels (21), not only does chromate stress not induce
s activity directly, it also seems to reduce the basal activity that is normally stimulated by starvation and other stationary-phase conditions (Fig. 6B). We also found no increase in levels of ppGpp in chromate-stressed cells, nor were the MIC50 or growth kinetics in the presence of chromate affected in a relA spoT (ppGpp null) (Table 1) (43) mutant relative to the wild type (not shown). These results suggest the absence of activation of either of these mechanisms in chromate-challenged cells. |
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Nonadapted chromate-challenged cells were the most stressed. Although in terms of growth kinetics they appeared largely unaffected for the first 3 h postinoculation, by that point they had transitioned to an extreme filamentous morphology, and growth apparently ceased thereafter. By 5 h postinoculation, although growth was not resumed, these cells had regained relatively normal morphologies, indicating partial recovery from chromate stress. Cells preadapted to chromate by overnight incubation in its presence exhibited less severe signs of stress when subjected to fresh chromate challenge. Their cell morphology was altered much less dramatically, and their growth defects were confined to a longer lag phase and slightly lower final cell biomass.
Control cells not challenged with chromate showed little internal oxidative stress according to the degree of green fluorescence they exhibited when incubated with the dye H2DCFDA. In the chromate-challenged cells, the fluorescence intensity corresponded by and large with the severity of chromate stress noted above. Thus, the 3-h nonadapted cells generated the most intense fluorescence, which declined at 5 h postinoculation coincident with partial recovery, and the preadapted cells, although more fluorescent than the controls, exhibited less internal oxidative stress at both the 3-h and 5-h time points than the challenged nonadapted cells.
Chromate exposure also resulted in depletion of cellular GSH and other free thiols, with levels declining more rapidly, and to a greater extent, in nonadapted than preadapted cells. Levels of these metabolites began to be replenished coincident with reduction in internal oxidative stress and cellular recovery as noted above. These events also coincided with the induction of proteins likely to be involved in countering the oxidative stress: SodB, CysN, and CysK (the latter enzyme having also been found to provide E. coli with resistance to the heavy metal prooxidant tellurite [36]). Mutants missing some antioxidant defense proteins, such as those encoded by sodB, cysK, and katE, exhibited increased sensitivity to chromate. And the SOS response, which protects against oxidative stress, was activated in preadapted cells. Taken together, the bulk of the data demonstrate that the prooxidant properties of chromate play a major role in its toxicity in vivo and that cellular defense against this toxicity involves activation of antioxidant mechanisms.
Although antioxidant capabilities of reduced glutathione are well established, the gshA and gshB glutathione biosynthesis mutants were not impaired in chromate MIC50. The reason for this is not known but may be related to the fact that GSH can react directly with chromate to form redox-cycling Cr(V) (32), can increase the incidence of Cr(VI)-induced DNA strand breaks (35), and can lead to formation of glutathione-Cr(III)-DNA adducts (37). Thus, in the context of chromate challenge, whether GSH is of net benefit or liability to a cell is difficult to evaluate, with its usual ability to guard cellular constituents against oxidative stress in conflict with its direct interactions with chromium. Indeed, the lower initial levels of GSH in cells which had been preadapted to chromate (Fig. 4B) may actually have contributed to the lower levels of oxidative stress observed in these cells. Consistent with this, Woods et al. (42) showed that when rat kidney cells were challenged with chromate, cells which had been grown on media enabling them to sustain eightfold normal intracellular GSH levels generated higher levels of ROS, and were less viable, than regular cells. Given these complexities, further work is required to establish any protective role for glutathione in defending against chromate stress.
The expression of several stress-responsive proteins was altered in chromate-preadapted cells (Table 3). These included TreC (trehalose-6-phosphate hydrolase, affected by osmotic stress [8]); OmpA, OmpW, AceF, and DppA (outer membrane proteins A and W, pyruvate dehydrogenase, and periplasmic dipeptide transport protein, respectively, affected by pH, starvation, and other stresses [24, 31, 38, 41]); and SspA (stringent starvation protein A, a starvation, salt, and putative global stress response regulator [14]). Although a coherent pattern for the expression of these diverse stress-responsive proteins was hard to discern, we investigated several candidate stress response systems to see if they might play some part in the chromate preadaptation phenotype. However, apart from the fact that the SOS response is likely induced by chromate, no evidence indicated the activation of these other global stress responses.
Activation of the SOS response can provide resistance to future oxidative challenges (4), and this, together with the diminished initial levels of GSH present in chromate-preadapted cells, may provide an explanation for the increased tolerance of these cells to subsequent chromate challenge. It is clear that chromate challenge places a substantial oxidative burden upon both nonadapted and preadapted cells and therefore that enhancing bacterial ability to minimize ROS generation during chromate reduction, and to deal with oxidative stress, will improve the ability to remediate chromate. Apart from the obligatory two-electron chromate reducers we have previously proposed (1, 2), the present work identifies other antioxidant proteins as possible targets of improvement in this regard.
This work was supported by grants DE-FG03-97ER-624940, DE-FG02-96ER20228, and DE-FG02-05ER64122 from the Natural and Accelerated Bioremediation Program of the U.S. Department of Energy (to A.M.). D.F.A., Y.B., and S.V.L. were supported, in part, by FRST New Zealand Postdoctoral Fellowship STAX0101, a Lady Davis Postdoctoral Fellowship, and a Stanford Medical School Dean's Fellowship, respectively.
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